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IEICE Transactions on Information and Systems 2006 E89-D(7):2268-2274; doi:10.1093/ietisy/e89-d.7.2268
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Copyright © 2006 The Institute of Electronics, Information and Communication Engineers

Regular Section -- Papers -- Image Recognition, Computer Vision

Space-Time Invariants for Recognizing 3D Motions from Arbitrary Viewpoints under Perspective Projection

Ying PIAO, Kazutaka HAYAKAWA and Jun SATO

The authors are with Nagoya Institute of Technology, Nagoya-shi, 466–8555 Japan. E-mail: paku{at}hilbert.elcom.nitech.ac.jp

Extracting visual motion is very important for understanding dynamic actions and for extracting dynamic events from video sequences. Recently, it was shown that some invariants on motions can be extracted from sequential images and applied for recognizing motions from images viewed from arbitrary viewpoints. Unfortunately, these space-time invariants were limited for planar motions viewed from affine cameras. In this paper, we propose a method for computing space-time invariants on non-planar motions viewed from two perspective cameras. The extracted invariants are applied for distinguishing 3D motions from video sequences viewed from arbitrary viewpoints.

Key Words: space-time invariants, motion recognition, space-time projection

Manuscript received October 21, 2005. Manuscript revised February 20, 2006.


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